Patterns are inherent fundamental building blocks of complex systems. Each pattern is created by a self-organized certain population of interacting components of the system resulting aggregation having certain form of regularity, symmetry and structure which is the source of certain form of information and can participate in the system's collective decision making process [1]}. However, the whole process of each pattern may not be the exact sum of the individual activities of the constituting components which are nonlinear in characters, sensitive to the surrounding internal and external fluctuations and initial conditions, dissipative in nature, and the dynamics are generally strongly coupled [2]}. Each pattern is generally open in nature which allow exchange of energy, accessible states are far away from equilibrium, and the information flow is permitted across the boundary [3]}. The interaction among the components in a pattern could be of diverse form which drives the dynamics of individual components quite complicated in nature which could be the origin of complicated properties of each pattern [4]}. Technically, the degree of pattern is generally characterized by complexity [5]}. The complexity of the pattern can be measured by different techniques, some of which are information theoretical approach [6]}, statistical complexity measures [7]}, Kolmogorov complexity [8]}, Lempel-Ziv complexity [9]} etc. The study of the properties of these patterns may provide the information of how complex systems work at fundamental level.
